Evaluation of Akdag iron ore reserves using
Differential Markov Random Field (DMRF)
Osman N. Ucan1 and A. Muhittin Albora2
1University of Istanbul Department of Electrical Engineering Avcilar, 34850, Istanbul, Turkey E-mail: email@example.com
2University of Istanbul Department of Geophysics Engineering Avcilar, 34850, Istanbul, Turkey E-mail: firstname.lastname@example.org
(Received 1 April 2000; accepted 5 January 2001)
Abstract:In this paper, a contemporary image processing novel, Differential Markov Random Field (DMRF) has been applied to Bouguer anomaly map of Akdag iron ore reserves. DMRF is an appropriate unsupervised, stochastic and real time approach, which can specify the local properties of anomaly maps. DMRF obtains regional or residual anomaly maps using both neighbourhood relation and stochastic property of the Bouguer anomaly map. Dominant structures forming anomalies can be detected altering quantisation parameter of DMRF. The results of DMRF approach applied to Akdag iron ore reserves, have matched to Technical Ore Research of Turkey (MTA) reports.
Keywords: Differential Markov Random Field (DMRF), Akdag Bouguer Anomaly.